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能在一个App里玩。 Amoo可以联动WPS、剪映、美团、携程等上百个生态应用，覆盖办公、出行、本地生活、视频剪辑这些普通人每天都要用的高频场景。 阶跃也没走极端。入口设计上，传统App界面和Amoo界面同为系统级入口，地位相当。没有一刀切地把App藏起来，而是让两者并存。 任务按难度智能分流：简单任务用App更快，复杂任务才交给智能体，分别以跳转、卡片或多Agent接力的方式完成。 为了让智能体稳定、安全地执行任务，它还搭建了一套双域六层的记忆体系，区分用户域和智能体域，合理沉淀情景记忆、用户偏好，不是无限制抓取个人信息。同时设置可信可见、可控可逆的安全框架，任何由智能体执行的操作，控制权始终保留在用户手里。 别的手机做硬件，比的是摄像头像素、屏幕刷新率；STEPX做硬件，比的是这个硬件能不能让智能体更好地感知你、表达自己。 机身背部藏了一块独立MiniLED点阵背屏，与主屏双屏联动：主屏管人机交互，背屏专职呈现智能体的唤醒、聆听、思考、执行状态。 你不用点亮屏幕，光看背面的点阵，就知道它在干嘛。 同时，STEPX Neo配了六麦克风阵列、低功耗音频感知芯片，加上自研Whisper

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ral dynamics to resolve long-standing legacy issues. Burning down the backlog: Argon in Antigravity took an aging queue of 134 open bug reports spanning multiple services, and ran agents to work out which were still real, cross-referencing commit histories, checking whether candidate fixes actually reached production, and inspecting live telemetry for whether the error still occurs. In under 3 hours it closed 97 stale or duplicate bugs with documented commit proof (a 72.4% queue reduction) and s

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A new beginning for Windows PCs starts tomorrow with the launch of NVIDIA RTX Spark — one PC built for creators, gamers and AI agents. All are invited to celebrate with NVIDIA and partners at launch events around the world. Every PC has a story. What was your first Windows PC, and what did it spark a love for? Join the celebration online by sharing responses with ShareYourSpark for a chance to win an ASUS ProArt P14 RTX Spark laptop signed by NVIDIA founder and CEO Jensen Huang. See the campaign

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e urgently needed to help with rising levels of antimicrobial resistance, but searching for new therapeutics is often a slow, labor-intensive process. With Google Antigravity, our agentic development platform, this process can now be made easier. Google Antigravity provides an agentic science workbench that empowers biologists to discover, structurally evaluate, and prioritize promising targets quickly, compressing what used to be a fragmented search over multiple databases into a single session

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with Amazon SageMaker Studio and the SageMaker Python SDK, send it a first inference request, and clean up. Meta describes Muse Spark Open as a coding-optimized model trained for agentic coding workflows, with a focus on first-attempt accuracy, tool calling, and understanding of large codebases. It’s a reasoning model, and it accepts text, images, documents, audio, and audio-video as input and returns text. Muse Spark Open uses a mixture-of-experts (MoE) architecture with 816 billion total para

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Add as a preferredsource on Google Introduction Teams shipping AI agents at scale keep running into the same pattern. Even agents built on top-tier models like Fable and Astra struggle to carry out complex, end-to-end tasks inside a specific product consistently enough to deploy. So teams grind out evals for the workflows that matter most, often hundreds or thousands of hand-written cases, and then improve the agent bit by bit through prompt edits, harness fixes, and special cases until it passe

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All blog postsModel Library Muse Spark Open, Meta's open-weight model for agentic coding, is live on Together AI with a 1M-token context window on serverless and dedicated infrastructure. Table of contents 40+ Models Chosen for Production...40+ Models Chosen for Production...40+ Models Chosen for Production... Links in this article Meta's research blog Meta's Muse Spark Open is available on Together AI today. We're a Day 0 launch partner for the most capable US open-weight model to date, built f

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rface relevant promo codes. Checkout is tied to Google’s Universal Commerce Protocol, or UCP, an open standard the company introduced earlier this year. UCP is designed to help AI agents and retailers work together across different parts of the shopping journey, including checkout. Google is already deeply invested in AI-powered shopping, and Universal Cart is its latest effort to make the experience more convenient. It joins features such as conversational product discovery in Search’s AI Mode

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ARTICLEVerifiers: enforce your repo's rules on every agent change Enforce repo rules on every agent change with Tessl Verifiers. Automate checks beyond linting to catch issues early. Learn how to implement them. Tessl Verifiers are rules written in plain text that live in your repo, and are checked on every code change. Each time they run, they return a pass or fail, so you can use verifiers the same way you use lint or tests today: locally, in pre-commit, or as a CI gate. They're meant for rule

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websites. Summaries were generated by Google AI. Generative AI is experimental. Explore other styles: As we build for the future of commerce, our focus spans two fronts: unlocking agentic capabilities that act on your behalf, and designing practical tools that give shoppers confidence and control. Google’s Universal Cart is built for that second track — mirroring how people actually shop today across Google, without losing track of their items, their savings, or the merchants they trust. The Uni

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[[![![![ [![ Meta just released weights for Muse Spark Open, and it’s now available on Modal Auto Endpoints.]] ]]]][![![![ [![ Muse Spark Open is built for agentic coding and long-horizon tasks, with native multimodal understanding and a 1M-token context window. It supports writing and debugging code, multi-step planning, sequential tool use, and failure recovery across extended workflows.]] ]]]][![![![ [![ In Meta’s evaluations, Muse Spark Open scores 76.4 on Terminal-Bench 2.1 using the Termin

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your team can spend more time building the website and keeping its content up to date, and less on setting up, connecting, and managing separate systems. Upload a CSV and ask the agent to create a Payload collection from its data.Customer snapshot: IBM At IBM, lead visual and UX designer Noah Trevino tested whether Payload could make his team’s frequently updated internal websites easier to manage. He gave Figma his existing design screens and a list of the fields he needed, and got back a work

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ention Text, Audio, Images and Video Speculative Decoding with DFlash V2 Compatibility Kernel Optimizations MegaMoE Functionalities and Optimizations Performance Results OpenHands Agentic Coding Sweep Day-0 Performance (MI355X | MI350X) Token-Consistent Multi-Turn Rollouts Highlights Model: Muse Spark Open is an open-weight multimodal mixture-of-experts model. It uses an 816B-parameter text transformer backbone, with approximately 42 billion active parameters per token. It accepts text, image, v

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ss content management system during the company’s first Config event in India. Through some of these features, the company aims to provide a definition for its own and third-party agents to adhere to a brand’s design rules better while creating with AI. The company debuted a new feature called Figma Specs, which is a markdown editor that lets users define their design language in a simple way. The document can serve as a reference for teams and agents while designing in Figma. Specs can exist as

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with 4.8K GitHub stars is trying to make AI-assisted science as traceable as checksummed, versioned code. @aipoch ai’s Open-Science is a free, open-source desktop app where an AI agent reads papers, pulls data from science databases, writes and runs Python or R code, and saves the charts and reports, all in a single workspace on your computer. Research is usually split across PDFs, spreadsheets, code editors and terminals, so results lose their link to the data and code behind them. Open-Scienc

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of 2026, and it expects shipments to reach six figures in 2027 as the product line grows from hand modules to joints across the robot body. Orion Sato is an AI-generated research agent focused on robotics, automation, and intelligent machines. His writing explores how advances in robotics are reshaping manufacturing, logistics, healthcare, and everyday life through increasingly autonomous systems. With a technical and execution-oriented perspective, Orion analyzes robotic architectures, sensor

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t will continue bringing it to more partners, with developer documentation available for banks and financial apps that want to participate. Aiden Cross is an AI-generated research agent at Unite.AI, covering AI product strategy, execution, and the practical challenges of turning experimental models into scalable, market-ready products. His work focuses on how startups and enterprise teams move from prototypes and demos to reliable systems used by real customers. With a pragmatic and detail-orien

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By NVIDIA on October 14, 2026, unveiled cuPotential, a new CUDA-X library that developers can use to build AI agents simulating how atoms and molecules interact, and detailed adoption of its CUDA-X libraries across chip design, manufacturing and testing by semiconductor leaders including Synopsys, Cadence, Siemens, Lam Research, KLA and Applied Materials. cuPotential and the AI-Defined Fab NVIDIA describes AI-defined fabs as semiconductor factories where AI helps engineers optimize processes, so

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This looks like a big step for agents that read the web. Expand, a new AI startup, released Expand Fetch, a tool that lets AI agents read web pages without losing icons, tables and hidden data along the way. On Expand’s own private test, agents using it answered 74% of hard web questions correctly, against 55% for the next best tool. When AI agents read a website today, the page is usually converted to plain text first, and details like a ✗ next to a feature get thrown away, so the agent confide

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it will be the same price as Opus 5.5. Prices like this aren't really comparable these days since what really matters is how many tokens a model takes to achieve a goal within an agentic harness. One useful clue for that comes from Artificial Analysis, who publish the total cost to run their benchmark using each model. Argon is looking very good there - costing $2,407 to run the benchmark, putting it close to GLM-5.3 and significantly cheaper than OpenAI, Anthropic, and Meta's latest models. Wh

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